Hyperspectral Anomaly Detection via Low-Rank Decomposition and Morphological Filtering.
Xiaoyu ChengYating XuJunjie ZhangDan ZengPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- morphological filtering
- remote sensing
- tensor decomposition
- multiscale
- multispectral
- missing data
- convex optimization
- matrix factorization
- semi supervised
- image data
- singular value decomposition
- high order
- high dimensional data
- zero crossing
- high resolution
- higher order
- unsupervised learning
- data sets
- image analysis
- neural network
- learning algorithm
- decision trees
- computer vision
- image quality